Object pose estimation in the presence of local illumination changes using Scale Manipulation Transform

Kobi Bentolila, Joseph M. Francos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We present a novel image transform called Scale Manipulation (SMT). The transform can be used for object pose estimation and registration of affine transformed images in the presence of non homogenous illumination changes. The transform calculates affine invariant features of objects in a global manner and avoids using any sort of edge detection. The computational load of the method is relatively low since it is linear in the data size. In this paper we introduce the transform and demonstrate its applications for pose estimation in the presence of non uniform varying illumination.

Original languageEnglish
Title of host publication2009 IEEE International Workshop on Multimedia Signal Processing, MMSP '09
DOIs
StatePublished - 1 Dec 2009
Event2009 IEEE International Workshop on Multimedia Signal Processing, MMSP '09 - Rio De Janeiro, Brazil
Duration: 5 Oct 20097 Oct 2009

Publication series

Name2009 IEEE International Workshop on Multimedia Signal Processing, MMSP '09

Conference

Conference2009 IEEE International Workshop on Multimedia Signal Processing, MMSP '09
Country/TerritoryBrazil
CityRio De Janeiro
Period5/10/097/10/09

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